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Found 2,505 Skills
Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", "maps analysis", "local rank tracking", "Share of Local Voice", or "SoLV".
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.
Full delivery pipeline: plan, build, ship, settle. Covers: shape/spec/design, TDD build, commit, PR creation, PR fix (CI/reviews/conflicts), PR polish, simplify, test coverage, verify ACs, walkthrough, issue management. Use when: shipping features, fixing PRs, creating PRs, building issues, simplifying code, checking quality, writing commits, managing issues. Trigger: /autopilot, /build, /shape, /commit, /issue, /check-quality, /test-coverage, /verify-ac, /pr-walkthrough.
Implement Syncfusion WinUI Radial Gauge (SfRadialGauge) component for circular data visualization in desktop applications. Use this when working with radial gauges, speedometers, temperature monitors, or dashboard meters. This skill covers axis configuration, multiple pointer types (needle, shape, content, range), ranges with gradients, annotations, animations, and interactive dragging for WinUI/.NET desktop applications.
Guide fee disclosure compliance across advisory, brokerage, fund, and retirement plan contexts. Use when the user asks about Form ADV Item 5 fee schedules, prospectus fee table format, Reg BI cost disclosure obligations, 12b-1 fee transparency, revenue sharing arrangements, wrap fee program costs, or ERISA 408(b)(2) service provider fee disclosure. Also trigger when users mention 'hidden fees', 'total cost to the client', 'are we disclosing all layers of fees', 'expense ratio comparison', 'fee billing in advance vs arrears', 'share class selection', 'indirect compensation', or ask whether fee disclosures are complete and compliant.
Use when animating multi-part objects, character appendages, fabric, hair, or any motion requiring realistic drag, momentum, and settling behavior.
Guide for implementing Syncfusion React ListBox component. Use this when working with list selection components, build dropdown-like lists with custom templates, enable multi-selection, implement drag-and-drop functionality, add filtering/searching to lists, create accessibility-compliant list boxes, or need to handle list item templates and styling. Perfect for selection menus, item pickers, dual-list transfers, and filterable item lists.
Use this skill when you need to take website screenshots with ScreenshotOne using direct curl commands, save the result to a local file, or choose ScreenshotOne API options such as full_page, viewport, wait, image, PDF, blocking, request, metadata, or storage settings.
Use this skill whenever deciding what features to extract from raw marketplace assets — listing photos, owner-entered listing metadata, sitter wizard responses — to power item-to-item (similar listings), user-to-item (homefeed ranking), or user-to-user (mutual-fit matching) recommenders in a two-sided trust marketplace. Covers asset auditing, first-principles feature decomposition from the decision the user is making, vision-feature extraction (CLIP, room-type classification, amenity detection, aesthetic and quality scoring), listing text and metadata encoding (categoricals, multi-hot amenities, H3 geo-hashing, sentence-transformer description embeddings, structured pet triples), sitter wizard design (information-gain ordering, multiple-choice over free text, genuine skippability, hard constraint versus soft preference), derived-composition patterns for i2i / u2i / u2u (precomputed ANN shelves, multi-modal fusion, two-tower affinity, symmetric mutual-fit scoring, interpretable subscores), feature quality governance (single registry, training-serving parity, coverage and drift alarms, PII scrubbing, schema versioning), and incremental value proof (one feature at a time, ablation A/B, kill reviews, exploration slice, permanent feature-free baseline). Trigger even when the user does not explicitly say "feature engineering" but is asking how to get more signal out of listing photos, listing metadata, or the sitter onboarding wizard, or how to improve i2i / u2i / u2u quality without blindly ingesting a new model.
Apply exponential smoothing methods for time series forecasting with weighted moving averages. Use this skill when the user needs simple, robust forecasts, implement Holt-Winters for seasonal data, or build lightweight forecasting without complex models — even if they say 'simple forecast', 'moving average prediction', or 'smoothing method'.
Perform break-even analysis to determine the sales volume or revenue needed to cover all costs. Use this skill when the user needs to calculate break-even point, assess margin of safety, evaluate operating leverage, or decide pricing and volume trade-offs — even if they say 'how many units do we need to sell', 'when will we be profitable', or 'what happens if we lower the price'.
Apply DuPont Analysis to decompose Return on Equity (ROE) into profitability, efficiency, and leverage components. Use this skill when the user needs to diagnose why ROE is high or low, compare financial performance drivers across companies, or identify which operational lever to pull — even if they say 'why is our ROE declining' or 'how do we improve returns'.